Sagnik Nath

Representation Robustness Under Executable Reasoning Constraints in Large Language Models for Mathematical Problem Solving

Sagnik Nath, Edith Aurora Graf, Liang Zhang, Diego Zapata-Rivera

Large language models (LLMs) are increasingly evaluated on mathematical problem solving, yet prior work often treats representationally equivalent formulations as interchangeable and conflates reasoning errors with interface failures. This paper investigates representation robust…Read more